ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2022
A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world.
Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Actual use, intention to use, and user attitudes toward mobile health applications for coronary heart disease self-management: a systematic review and meta-analysis.BMC medical informatics and decision making · 2026Pooled it
- eHealth implementationFrontiers in digital health · 2024Article
- Quality assessment of mHealth apps: a scoping review.Frontiers in health services · 2024Article
- Extending the Privacy Calculus to the mHealth Domain: Survey Study on the Intention to Use mHealth Apps in Germany.JMIR human factors · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimNew challenges are being faced by global healthcare systems such as an increase in the elderly population, budget cuts as well as the ongoing Covid-19 pandemic. As pressures mount on healthcare systems to provide treatment to patients, mHealth is seen as one of the possible solutions to addressing these challenges. Given the sensitivity of health data, the rapid development of the mHealth sector raises privacy concerns. The aims of this research were to investigate privacy threats/concerns in the context of mHealth and the management of chronic diseases and to propose a novel privacy framework to address these concerns. SUBJECT AND
methodThe study adopted a modified version of the engineering design process. After defining the problem, information was gathered through literature reviews, and analyses of existing regulatory (privacy) frameworks and past research on privacy threats/concerns. Requirements for a new framework were then specified leading to its development and comparison with existing frameworks.
resultsA novel future-proof privacy framework was developed and illustrated. Using existing regulatory frameworks for privacy and privacy threats/concerns from research studies, privacy principles and their resulting requirements were identified. Furthermore, mechanisms and associated technologies needed to implement the privacy principles/requirements into a functional prototype were also identified. A comparison of the proposed framework with existing frameworks, showed that it addressed privacy threats/concerns in a more comprehensive manner.
conclusionThis research makes a valuable contribution to protecting privacy in mHealth. The novel framework developed is an improvement on existing frameworks. It is also future-proof since its foundations are built on regulatory frameworks and privacy threats/concerns existing at the time of its deployment/revision.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.